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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ming-Yuen Chan Yingcai Wu Wai-Ho Mak Wei Chen Huamin Qu |
| Copyright Year | 1995 |
| Abstract | The semi-transparent nature of direct volume rendered images is useful to depict layered structures in a volume. However, obtaining a semi-transparent result with the layers clearly revealed is difficult and may involve tedious adjustment on opacity and other rendering parameters. Furthermore, the visual quality of layers also depends on various perceptual factors. In this paper, we propose an auto-correction method for enhancing the perceived quality of the semi-transparent layers in direct volume rendered images. We introduce a suite of new measures based on psychological principles to evaluate the perceptual quality of transparent structures in the rendered images. By optimizing rendering parameters within an adaptive and intuitive user interaction process, the quality of the images is enhanced such that specific user requirements can be met. Experimental results on various datasets demonstrate the effectiveness and robustness of our method. |
| Sponsorship | IEEE Computer Society Technical Committee on Computer Graphics IEEE Computer Society |
| File Size | 1255753 |
| File Format | |
| ISSN | 10772626 |
| Volume Number | 15 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Rendering (computer graphics) Psychology Visualization Transfer functions Image quality Shape measurement Robustness Image enhancement Image resolution Visual perception layer perception. Direct volume rendering image enhancement |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Signal Processing Computer Vision and Pattern Recognition Software |
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